Design And Implementation Of Banking Report System Based On Big Data Analysis

With the rapid development of Internet finance,Internet finance is gradually penetrating into all aspects of social economy.The Internet-based large-scale data technology has been widely applied,which has profound impact on China’s financial ecology and financial structure.The bank’s marketing environment and marketing have had a huge impact.Therefore,China’s commercial banking industry is in a very critical turning point,the focus of reform of commercial banks has gradually changed from "quantity expansion" to "quality improvement" stage,commercial banks are From the traditional service-oriented banks into marketing-oriented banks,customer-centric,customer-oriented marketing ideas and reduce costs,risk aversion management awareness has become a new banking management philosophy.At the same time,the fierce competition between banks makes the banks urgently need to understand the development of banking business,improve the efficiency of the system,and carry out more relevant business.From the banking services,they want to bank statements from the bank’s various channels of the operation of the transaction,to provide appropriate services to customers at the right time,through the correct channels and means to provide products and information.From the business point of view,I hope from the statements of the banking business of various business assessment indicators for analysis,to find real profit growth.To achieve these needs,commercial banks in the past mainly through large-scale data warehouse-based data mining with the technical means to achieve the purpose of the report display.However,due to the rapid development of the Internet in recent years,the bank’s electronic banking data shows explosive growth and more diversified forms of data.Traditional data mining technology has not been able to analyze and deal with it rapidly and effectively.Therefore,in order to meet the needs of data analysis under the Internet financial era,combining the traditional reporting platform with large data technology to establish a business intelligence platform based on large data mining technology has become a common choice of commercial banks.This paper studies the design and implementation of the report system in the large data environment according to the business demand of the customer consumption behavior report system proposed by a large state-owned commercial bank’s electronic banking payment business.In this paper,the overall architecture of the system is designed,and the overall system architecture is established,which consists of three subsystems: data acquisition subsystem,large data analysis subsystem and report subsystem.In the functional process,the system first online and offline data collection,and then based on the data collected for analysis and calculation,the results of the report to the report platform to display.In the technical route,select the page plug-in and database export technology to achieve dynamic and static data collection to ensure the flexibility and standardization of collection;select the underlying business model based on Hadoop distributed computing engine to build large data analysis platform,To meet the needs of massive data computing and storage;selection of lightweight BIRT open-source report engine combined with open-source visualization framework Echarts for reporting,providing a certain degree of ease of development and scalability.